Optimisation and usefulness of quantitative analysis of 18F-florbetapir PET
File(s)Fakhry-Darian et al BRR 2019.pdf (1.17 MB)
Published version
Author(s)
Type
Journal Article
Abstract
OBJECTIVES: This study investigates the usefulness of quantitative SUVR thresholds on sub types of typical (type A) and atypical (non-type A) positive (Aβ+) and negative (Aβ-) 18F-florbetapir scans and aims to optimise the thresholds. METHODS: Clinical 18F-florbetapir scans (n = 100) were categorised by sub type and visual reads were performed independently by three trained readers. Inter-reader agreement and reader-to-reference agreement were measured. Optimal SUVR thresholds were derived by ROC analysis and were compared with thresholds derived from a healthy control group and values from published literature. RESULTS: Sub type division of 18F-florbetapir PET scans improves accuracy and agreement of visual reads for type A: accuracy 90%, 96% and 70% and agreement κ > 0.7, κ ≥ 0.85 and -0.1 < κ < 0.9 for all data, type A and non-type A respectively. Sub type division also improves quantitative classification accuracy of type A: optimum mcSUVR thresholds were found to be 1.32, 1.18 and 1.48 with accuracy 86%, 92% and 76% for all data, type A and non-type A respectively. CONCLUSIONS: Aβ+/Aβ- mcSUVR threshold of 1.18 is suitable for classification of type A studies (sensitivity = 97%, specificity = 88%). Region-wise SUVR thresholds may improve classification accuracy in non-type A studies. Amyloid PET scans should be divided by sub type before quantification. ADVANCES IN KNOWLEDGE: We have derived and validated mcSUVR thresholds for Aβ+/Aβ- 18F-florbetapir studies. This work demonstrates that division into sub types improves reader accuracy and agreement and quantification accuracy in scans with typical presentation and highlights the atypical presentations not suited to global SUVR quantification.
Date Acceptance
2019-04-11
Citation
British Journal of Radiology, 92 (1101)
ISSN
0007-1285
Publisher
British Institute of Radiology
Journal / Book Title
British Journal of Radiology
Volume
92
Issue
1101
Copyright Statement
© 2019 The Authors. Published by the British Institute of Radiology.
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31017465
Subjects
Science & Technology
Life Sciences & Biomedicine
Radiology, Nuclear Medicine & Medical Imaging
POSITRON-EMISSION-TOMOGRAPHY
FLORBETAPIR F 18
MILD COGNITIVE IMPAIRMENT
ALZHEIMERS-DISEASE
AMYLOID PET
QUANTIFICATION
Adult
Aged
Aged, 80 and over
Alzheimer Disease
Aniline Compounds
Brain
Brain Mapping
Ethylene Glycols
Female
Fluorine Radioisotopes
Humans
Male
Middle Aged
Positron-Emission Tomography
Radiopharmaceuticals
Reproducibility of Results
Sensitivity and Specificity
Brain
Humans
Alzheimer Disease
Fluorine Radioisotopes
Ethylene Glycols
Aniline Compounds
Radiopharmaceuticals
Positron-Emission Tomography
Brain Mapping
Sensitivity and Specificity
Reproducibility of Results
Adult
Aged
Aged, 80 and over
Middle Aged
Female
Male
Nuclear Medicine & Medical Imaging
1103 Clinical Sciences
Publication Status
Published online
Coverage Spatial
England
Article Number
20181020
Date Publish Online
2019-05-14